Results 111 to 120 of about 3,564,139 (354)

How sustainable environments have reduced the diffusion of coronavirus disease 2019: the interaction between spread of COVID-19 infection, polluting industrialization, wind (renewable) energy [PDF]

open access: yesarXiv, 2020
This study endeavors to explain the relation between air pollution and particulate compounds emissions, wind resources and energy, and the diffusion of COVID-19 infection to provide insights of sustainable policy to prevent future epidemics. The statistical analysis here focuses on case study of Italy, one of the countries to experience a rapid ...
arxiv  

Polyanhydride‐Based Microparticles for Programmable Pulsatile Release of Diphtheria Toxoid (DT) for Single‐Injection Self‐Boosting Vaccines

open access: yesAdvanced Materials, EarlyView.
This study presents a polyanhydride‐based delivery platform for single‐injection, self‐boosting vaccines. The system enables programmable, pulsatile release of diphtheria toxoid with high antigen recovery and is guided by machine learning for tunability. In vivo results show immune responses comparable to multi‐dose regimens, highlighting its potential
Linzixuan Zhang   +17 more
wiley   +1 more source

Cesarean Section in a Pregnant Woman with COVID-19: First Case in Portugal

open access: yesActa Médica Portuguesa, 2020
We report the first cesarean delivery in a woman with COVID-19 in a level III hospital in Portugal. It refers to a healthy woman with a term pregnancy that tested positive for COVID-19 on the day of labor induction. Given a Bishop score < 4 and the prior
Joana Lyra   +3 more
doaj   +1 more source

3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image [PDF]

open access: yesarXiv, 2021
In this paper, a 3D-RegNet-based neural network is proposed for diagnosing the physical condition of patients with coronavirus (Covid-19) infection. In the application of clinical medicine, lung CT images are utilized by practitioners to determine whether a patient is infected with coronavirus.
arxiv  

Ammonia Dynamics in the Human Body: Insights in Biomedical Sensing Technologies

open access: yesAdvanced Sensor Research, EarlyView.
Ammonia (NH3) is a significant biomarker in diagnostics, affecting the respiratory system, stomach, liver, kidneys, bladder, and gastrointestinal tract. NH3 detection, using sensors, has the potential to improve medical diagnosis. This review examines recent advancements in NH3 sensing technologies and explores future research directions, including ...
Annelot Nijkoops   +8 more
wiley   +1 more source

Changes in adolescents’ sleep during COVID-19 outbreak reveal the inadequacy of early morning school schedules [PDF]

open access: yesSleep Science
Objectives: The forced closure of schools during the COVID-19 outbreak imposed on adolescents a new reality of home-schooling. This new situation has affected adolescent sleep patterns due to the absence of the pressure to wake up earlier induced by ...
Jefferson Souza Santos   +1 more
doaj   +1 more source

Coronavirus Infection and Cholesterol Metabolism

open access: yesFrontiers in Immunology, 2022
Host cholesterol metabolism remodeling is significantly associated with the spread of human pathogenic coronaviruses, suggesting virus-host relationships could be affected by cholesterol-modifying drugs.
Jun Dai   +11 more
doaj   +1 more source

Detectability of the novel coronavirus (SARS-CoV-2) infection and rates of mortality from the novel coronavirus infection in different regions of the Russian Federation [PDF]

open access: yesarXiv, 2020
Relevance: Laboratory diagnosis of the novel coronavirus (SARS-CoV-2) infection combined with quarantine for contacts of infected individuals affects the spread of SARS-CoV-2 infection and levels of related mortality. Practices for testing for SARS-CoV-2 infection vary geographically in Russia. For example, in the city of St.
arxiv  

Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems

open access: yesAdvanced Sensor Research, EarlyView.
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh   +11 more
wiley   +1 more source

Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm [PDF]

open access: yesarXiv, 2020
In this paper, we have applied the logistic growth regression model and genetic algorithm to predict the number of coronavirus infected cases that can be expected in upcoming days in India and also estimated the final size and its peak time of the coronavirus epidemic in India.
arxiv  

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